VLM Evaluation

VLM: Vision-Language Model

Overview

Vision-language model evaluation studies what these systems can infer from images and video, and whether their answers are supported by visual evidence. Researchers use broad benchmarks alongside controlled probes, counterfactual edits, and stage-wise tests covering tasks such as spatial reasoning, charts and documents, medical imaging, and long-video understanding. They assess not only accuracy but also grounding, hallucination, calibration, robustness, bias, and abstention, often comparing models with human or specialist judgments. A central challenge is that high benchmark scores can reflect language priors or shortcuts rather than reliable visual understanding, and performance often falters on fine-grained, temporal, compositional, or unfamiliar tasks.

Latest papers

CardsList

999 papers122 papers in the last four weeks, up 12% on the four weeks before. 0.7% of all new papers.

  1. Beyond Perception Errors: Semantic Fixation in Large Vision-Language Models

    Apr 13, 2026Md Tanvirul AlamVLM ReasoningVLM Evaluation

  2. Confidence under Visual Token Pruning: Removed Evidence and Risk-Controlled Token Budgets for MLLMs

    Apr 13, 2026Kaizhen Tan, Yang Feng, Heqing Du +3VLM EvaluationConfidence Estimation for VLMs

  3. Benchmarking Deflection and Hallucination in Large Vision-Language Models

    Apr 13, 2026Nicholas Moratelli, Christopher Davis, Leonardo F. R. Ribeiro +2VLM EvaluationVision-Language Models

  4. GazeVaLM: A Multi-Observer Eye-Tracking Benchmark for Evaluating Clinical Realism in AI-Generated X-Rays

    Apr 13, 2026David Wong, Zeynep Isik, Bin Wang +22Medical Image BenchmarksVLM Evaluation

  5. CArtBench: Evaluating Vision-Language Models on Chinese Art Understanding, Interpretation, and Authenticity

    Apr 13, 2026Xuefeng Wei, Zhixuan Wang, Xuan Zhou +5VLM EvaluationVLM Reasoning

  6. Sign Language Recognition in the Age of LLMs

    Apr 13, 2026Vaclav Javorek, Jakub Honzik, Ivan Gruber +2Sign Language RecognitionVLM Evaluation

  7. RefGlitch-Bench: A Benchmark for Reference-based Gameplay Glitch Detection with Vision-Language Models

    Apr 13, 2026Yakun Yu, Ashley Wiens, Adrián Barahona-Ríos +4VLM EvaluationReference-Based Video Anomaly Detection

  8. TraversalBench: Challenging Paths to Follow for Vision Language Models

    Apr 13, 2026Clara Petrova, Zhuo Chen, Marin SoljačićVLM EvaluationVisual Grounding

  9. Back to the Barn with LLAMAs: Evolving Pretrained LLM Backbones in Finetuning Vision Language Models

    Apr 13, 2026Sameera Horawalavithana, Lauren Phillips, Ian Stewart +2Vision-Language ModelsVLM Reasoning

  10. BareBones: Benchmarking Zero-Shot Geometric Comprehension in VLMs

    Apr 12, 2026Aaditya Baranwal, Vishal Yadav, Abhishek RajoraVLM EvaluationVLM Reasoning

  11. DiningBench: A Hierarchical Multi-view Benchmark for Perception and Reasoning in the Dietary Domain

    Apr 12, 2026Song Jin, Juntian Zhang, Xun Zhang +6VLM EvaluationFine-Grained Visual Perception

  12. Edu-MMBias: A Three-Tier Multimodal Benchmark for Auditing Social Bias in Vision-Language Models under Educational Contexts

    Apr 11, 2026Ruijia Li, Mingzi Zhang, Zengyi Yu +2Cultural Bias in VLMsVLM Evaluation

  13. Counting to Four is still a Chore for VLMs

    Apr 11, 2026Duy Le Dinh Anh, Patrick Amadeus Irawan, Tuan Van VoAttention Intervention in VLMsVision-Language Models

  14. Cross-Cultural Value Attribution in Large Vision-Language Models

    Apr 10, 2026Phillip Howard, Xin Su, Kathleen C. FraserVLM EvaluationCounterfactual Evaluation of VLMs

  15. From Scientific Crop Imagery to Agronomic Reasoning: A Multimodal LLM Benchmark for Plant Phenotyping

    Apr 10, 2026Yu Wu, Guangzeng Han, Ibra Niang Niang +6Plant PhenotypingVLM Evaluation

  16. Predictive Entropy as a Joint Screen for Error and Paraphrase Instability in Medical Vision-Language Models

    Apr 10, 2026Binesh Sadanandan, Vahid BehzadanMedical VLMsVLM Evaluation

  17. SenBen: Sensitive Scene Graphs for Explainable Content Moderation

    Apr 9, 2026Fatih Cagatay Akyon, Alptekin TemizelContent ModerationMultimodal Content Moderation

  18. Can Vision Language Models Judge Action Quality? An Empirical Evaluation

    Apr 9, 2026Miguel Monte e Freitas, Rui Henriques, Ricardo Rei +1Action Quality AssessmentVision-Language Models

  19. Vision-Language Foundation Models for Comprehensive Automated Pavement Condition Assessment

    Apr 9, 2026Blessing Agyei Kyem, Joshua Kofi Asamoah, Anthony Dontoh +1Multimodal Instruction TuningVLM Evaluation

  20. MARINER: A 3E-Driven Benchmark for Fine-Grained Perception and Complex Reasoning in Open-Water Environments

    Apr 9, 2026Xingming Liao, Ning Chen, Muying Shu +5VLM EvaluationVisual Question Answering

  21. Appear2Meaning: A Cross-Cultural Benchmark for Structured Cultural Metadata Inference from Images

    Apr 8, 2026Yuechen Jiang, Enze Zhang, Md Mohsinul Kabir +4Cultural Knowledge in Language ModelsVLM Evaluation

  22. How Well Do Vision-Language Models Understand Sequential Driving Scenes? A Sensitivity Study

    Apr 8, 2026Roberto Brusnicki, Mattia Piccinini, Johannes BetzVisual Evidence Sensitivity in VLMsTemporal Reasoning in VLMs

  23. ValueGround: Evaluating Culture-Conditioned Visual Value Grounding in MLLMs

    Apr 7, 2026Zhipin Wang, Christoph Leiter, Christian Frey +3Cultural Knowledge in Language ModelsVLM Evaluation

  24. SynopticBench: Evaluating Vision-Language Models on Generating Weather Forecast Discussions of the Future

    Apr 7, 2026Timothy B. Higgins, Antonios Mamalakis, Chirag AgarwalVLM EvaluationForecasting Benchmarks

  25. "I See What You Did There": Can Large Vision-Language Models Understand Multimodal Puns?

    Apr 7, 2026Naen Xu, Jiayi Sheng, Changjiang Li +7VLM EvaluationMultimodal Understanding

  26. AICA-Bench: Holistically Examining the Capabilities of VLMs in Affective Image Content Analysis

    Apr 7, 2026Dong She, Xianrong Yao, Liqun Chen +3VLM EvaluationVLM Calibration

  27. DetailVerifyBench: A Benchmark for Dense Hallucination Localization in Long Image Captions

    Apr 7, 2026Xinran Wang, Yuxuan Zhang, Xiao Zhang +7VLM HallucinationVLM Evaluation